Emerging contaminants (ECs) in wastewater have recently attracted the attention of
researchers as they pose significant risks to human health and wildlife. This paper presents …

Over the recent decades, the escalating expenses associated with energy provision
alongside the implementation of rigorous ecological regulations have engendered a …

In context of 6G mobile computing, the combination of Industrial Internet of Things (IoT) and
machine learning extends intelligent sensing ability to improve industrial operation …

Artificial neural network (ANN) models have been designed to predict faecal coliform and
total coliform removal for an intermittent cycle extended aeration-sequential batch reactor …

Due to fossil fuel depletion and the rapid growth of industry, it is critical to develop
environmentally friendly and long-term alternative energy technologies. Microbial fuel cells …

The production of renewable biofuel through microalgae and green technology can be a
promising solution to meet future energy demands whilst reducing greenhouse gases (GHG) …

This review emphasizes the significance of formulating control strategies for biological and
advanced oxidation process (AOP)-based wastewater treatment systems. The aim is to …

The main objective of this work was to test different artificial neural network (ANN) based
models, ie the ANN feed forward back propagation (ANN-FFBP), deep feed forward …

Wastewater Treatment Plants (WWTPs) play a crucial role in maintaining ecological
balance, a cornerstone of environmental health for thriving biodiversity and undisturbed …

In most wastewater treatment plants, biological treatment degrades organic matter. Aeration
is a key parameter that directly affects dissolved oxygen concentration, fouling, mixing of …